Daniel R. Kirkpatrick

460 citations
11 papers · 330 · h-index 8

Impact in

Papers in

Daniel R. Kirkpatrick

10 papers receiving 310 citations

Peers

Daniel R. Kirkpatrick
Comparison fields: 5 of 92
  • Gastroenterology 28
  • Obstetrics and Gynecology 20
  • Radiology, Nuclear Medicine and Imaging 62
  • Physiology 60
  • Anesthesiology and Pain Medicine 9
Replace Chun‐Chia Chen with:
Chun‐Chia Chen Taiwan
Julia Y.H. Liu Hong Kong
Zhijun Cao United States
Gianandrea Traversi Italy
Kenji Nagai Japan
Yuxin Zhang China
R Salzmann Japan
Bimal K. Agrawal India
Man Sup Lim South Korea
Daniel R. Kirkpatrick relative to Chun‐Chia Chen Taiwan Chun‐Chia Chen's profile →
Citations per field
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Countries citing papers authored by Daniel R. Kirkpatrick

Since Specialization
Citations

This map shows the geographic impact of Daniel R. Kirkpatrick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel R. Kirkpatrick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Kirkpatrick more than expected).

Fields of papers citing papers by Daniel R. Kirkpatrick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Kirkpatrick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel R. Kirkpatrick. The network helps show where Daniel R. Kirkpatrick may publish in the future.

Co-authors

The 14 scholars most cited alongside Daniel R. Kirkpatrick, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel R. Kirkpatrick Line = papers co-authored together Daniel R. Kirkpatrick links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2017155
2 201546
3 201635
4 201729
5 201528
6 201613
7 201411
8 20157
9 20203
10 20162
11 20161

About Daniel R. Kirkpatrick

Daniel R. Kirkpatrick is a scholar working on Physiology, Anesthesiology and Pain Medicine, Surgery, Molecular Biology and Pathology and Forensic Medicine, having authored 11 papers that have together received 330 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (3 papers), Ion channel regulation and function (2 papers), Pain Management and Opioid Use (2 papers), Spine and Intervertebral Disc Pathology (2 papers), Sleep and Wakefulness Research (1 paper), Pain Management and Treatment (1 paper), Vascular Procedures and Complications (1 paper) and Obstructive Sleep Apnea Research (1 paper). The work is most often cited by research in Gastroenterology (28 citations), Obstetrics and Gynecology (20 citations), Radiology, Nuclear Medicine and Imaging (62 citations), Physiology (60 citations) and Anesthesiology and Pain Medicine (9 citations). Daniel R. Kirkpatrick has collaborated with scholars based in United States. Frequent co-authors include Devendra K. Agrawal, Sean D. Smith, Johanna Schubert, Trevor K. Smith, Tyler Smith, Mark D. Reisbig, Tyler A. Smith, Oormila Kovilam, Sumeet K. Mittal and Takahiro Masuda. Their work appears in journals such as Expert Review of Clinical Pharmacology, Clinical and Translational Science, Journal of Gastrointestinal Surgery, Journal of Translational Medicine and The American Surgeon.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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